Lessons

Two tracks. Watch, then ask.

Each lesson is a short video, the notes that matter, and a place to ask while you watch. Pick the track that fits where you are. Your progress is saved on this device.

Start here2 lessons

Beginner

What a neural network is, and how it changes its numbers when it is wrong. No code required.

Beginner track0 of 2 done
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3Blue1Brown

What a neural network is

Grant Sanderson walks through a network that reads handwritten digits. No code. The point is the structure: layers of numbers, weights, and a final guess.

Video · 6 key pointsWatch →

2

3Blue1Brown

How a network learns

The follow-up. A cost function, then gradient descent: small changes to the weights that reduce error on examples you already labeled.

Video · 6 key pointsWatch →

For people who manage the work2 lessons

Manager

What a language model is in practice, and what people mean by generative AI. Enough to ask better questions.

Manager track0 of 2 done
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Andrej Karpathy

Large language models, without training one

Andrej Karpathy’s one-hour talk for a general audience. What the model file is, what training cost looked like in 2023, and where the security problems sit. The shape of the explanation still holds.

Video · 7 key pointsWatch →

2

Google Cloud Tech

What generative AI is

A short Google Cloud lesson. A definition, how this sits next to other machine learning, and the kinds of output people mean when they say generative.

Video · 6 key pointsWatch →

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